Name: Farzana Z Ali
Type: User
Company: Stony Brook University
Bio: Python Instructor ||
PhD candidate working on machine learning for medical image analysis and statistical modeling of timeseries data.
Twitter: farzanazali
Location: Stony Brook, New York
Blog: farzanazali.com
Farzana Z Ali's Projects
This webpage contains workshop details and instructions on what learners will need to install on their computers.
Data Carpentry: Ecology with Python
Detect periods of sleep and non-wear from ActiGraph data
BrainPainter - Brain Visualisation Software
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Data for the HarvardX courses: PH525x
DICOM Structured Reports on FHIR implementation guide
Config files for my GitHub profile.
Add social media icons to your GitHub README files.
A multilingual glossary for computing and data science terms.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Installation and run scripts for configuration a new machine
Production-Grade Container Scheduling and Management
Materials for workshops on text mining, machine learning, and data visualization
Rmd source files for the HarvardX series PH525x
Mixed-effects models in R using S4 classes and methods with RcppEigen
Repository for activities of the machine learning committee
Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
Models Genesis for brain data. Tried for ATLAS dataset and CQ500 dataset.
Play with neural networks!
Python-based open source package for actigraphy data analysis
A game theoretic approach to explain the output of any machine learning model.
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP